skip_on_cran()

files <- list.files(path = file.path(system.file(package = "dismo"), "ex"),
                    pattern = "grd",
                    full.names = TRUE)

env <- terra::rast(files)
train <- SDMtune:::t

# Reduce observation to simulate k > n
np <- sum(train@pa == 1)
fold <- rep(TRUE, nrow(train@data))
fold[16:np] <- FALSE
train <- .subset_swd(train, fold)
m <- train("Maxnet",
           data = train,
           fc = "h")

test_that("NA is returned if k > obs", {
  expect_equal(aicc(m, env), NA)
})

test_that("The correct output is produced", {
  expect_type(aicc(SDMtune:::bm_maxent, env), "double")
})

test_that("Raises an error if called with the wrong model method", {
  data <- SDMtune:::t
  data@data <- data@data[, 1:4]
  m <- trainRF(data = data, mtry = 2, ntree = 200)
  expect_snapshot_error(aicc(m, env))
})

test_that("The function raises errors", {
  expect_snapshot_error(aicc(m,
                             env = "spam"))
})

# TODO: Remove with version 2.0.0
test_that("The function raises an error if a raster object is used", {
  class(env) <- "Raster"
  expect_snapshot_error(aicc(m, env))
})